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The transmission mechanisms of volatility between markets can be characterized within a new Markov Switching bivariate …
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We analyze several measures of volatility (realized variance, bipower variation and squared daily returns) as …
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gains over the equation by equation approach using a four variable fully interdependent model with different volatility …
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Nonlinear time series models can exhibit components such as long range trends and seasonalities that may be modeled in a flexible fashion. The resulting unconstrained maximum likelihood estimator can be too heavily parameterized and suboptimal for forecasting purposes. The paper proposes the use...
Persistent link: https://www.econbiz.de/10005075728
In this paper we address the issue of forecasting Value–at–Risk (VaR) using different volatility measures: realized … volatility, bipower realized volatility, two scales realized volatility, realized kernel as well as the daily range. We propose a …-Spline Multiplicative Error Model. Exploiting UHFD volatility measures, VaR predictive ability is considerably improved upon relative to a …
Persistent link: https://www.econbiz.de/10005075734
Markov Switching Models to test whether the Italian stock market volatility has increased in the long run and if it can be … represented by different volatility regimes. We find that volatility regimes exist; that Banking sector has a central role and …
Persistent link: https://www.econbiz.de/10005687785